Upload convert.py
Browse files- convert.py +37 -0
convert.py
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import csv
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csv.field_size_limit(1000000000)
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if __name__ == '__main__':
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# get md5 to all other properties map
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md5_to_row = dict()
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with open("posts-2023-09-14.csv", "r", encoding="utf-8") as input_file:
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reader = csv.reader(input_file)
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header = next(reader)
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for row in reader:
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# row[3] is md5
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this_map = {row[3]:row}
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md5_to_row.update(this_map)
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# get all aesthetic ratings
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aesthetic_score_rows = []
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with open("aesthetic_scores_t3.4_q90.csv", "r", ) as input_file_2:
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reader = csv.reader(input_file_2)
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_ = next(reader)
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for row in reader:
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aesthetic_score_rows.append(row)
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with open("output.csv", "w", encoding="utf-8", newline="") as output_file:
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writer = csv.writer(output_file)
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header.append("aesthetic_score")
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writer.writerow(header)
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for row in aesthetic_score_rows:
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this_md5 = row[1]
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if this_md5 in md5_to_row.keys():
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this_row = md5_to_row[row[1]]
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this_row.append(row[-1])
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writer.writerow(this_row)
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